When it comes to research in the field of social sciences, the Analysis of Variance test, shortly known as ANOVA is an extremely important tool. It is a technique employed to make a comparison between more than two populations. The most common variants are one-way and two-way ANOVA.
Apart from the KMO and Bartlett’s test table, the most important output while running the factor analysis test in SPSS is the rotated component matrix table.
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Indra Giri and Priya Chetty on March 14, 2017 6 Comments
The normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.
The independent two-sample t-test is used to test whether population means are significantly different from each other, using the means from randomly drawn samples.
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Priya Chetty and Shruti Datt on February 7, 2015 11 Comments
Cronbach Alpha is a reliability test conducted within SPSS in order to measure the internal consistency i.e. reliability of the measuring instrument (Questionnaire).